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Artificial Intelligence and the Transformation of Work: A Bibliometric Study on Sociological Perspectives (2014–2024) Amrullah; Gopindo, Rangga; Ledyawati; Pakpahan , Fransiskus Novrianto
Business and Investment Review Vol. 2 No. 4 (2024)
Publisher : CV. Lenggogeni Data Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61292/birev.187

Abstract

This study employs a bibliometric approach to analyze the evolution of literature on artificial intelligence (AI) and work transformation, aiming to map the knowledge structure and research trends in this field. While existing studies have predominantly focused on the technical dimensions of AI, significant gaps remain regarding social perspectives, particularly in developing country contexts. Our analysis addresses this limitation by systematically examining 718 Scopus-indexed documents (2014-2024) using VOSviewer for network visualization through bibliographic coupling and co-citation analysis. The results reveal a marked increase in publications post-2018, driven by technological advancements and sociological debates on automation. Co-citation analysis identifies six thematic clusters, including AI's labor impact, ethical considerations, and human-AI collaboration, while bibliographic coupling highlights sector-specific applications in healthcare and manufacturing, alongside persistent challenges such as skill gaps. Notably, the findings underscore the Western-centric nature of current discourse, calling for more inclusive research in Global South contexts. The study contributes to policy discussions by emphasizing the need for adaptive regulatory frameworks, reskilling initiatives, and micro-credential-based education systems. Although limited to Scopus-indexed literature, this research provides valuable insights for shaping future academic inquiry and evidence-based policymaking in the era of digital transformation.
ANALISIS MODAL SOSIAL PADA JARINGAN KOMUNITAS PENGUMPUL BARANG BEKAS DI KOTA BENGKULU Gopindo, Rangga; Rifai; Heriyanti, Lesti
NUANSA: Jurnal Penelitian Ilmu Sosial dan Keagamaan Islam Vol. 22 No. 2 (2025): In Progres
Publisher : Research Institute and Community Engagement of UIN MADURA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19105/nuansa.v22i2.21956

Abstract

Abstrak “Penelitian ini bertujuan untuk memahami peran modal sosial dalam meningkatkan kesejahteraan pemulung barang bekas di Kota Bengkulu. Di tengah keterbatasan akses terhadap sumber daya finansial, pemulung sering kali bergantung pada jaringan sosial sebagai bentuk dukungan ekonomi dan emosional. Namun, kepercayaan, norma kolektif, dan struktur jaringan antaranggota komunitas belum sepenuhnya optimal dalam mendorong kolaborasi dan pertukaran informasi harga yang efektif. Melalui pendekatan kualitatif dengan metode studi kasus, penelitian ini dilakukan di komunitas pemulung di kawasan Balai Buntar, Bengkulu. Subjek penelitian dipilih menggunakan teknik snowball sampling, memungkinkan peneliti menjangkau informan yang sulit diakses secara langsung, dari teknik tersebut didapatkan 20 sampel data pemulung dan dilakukan pengumpulan data menggunakan wawancara mendalam, observasi partisipatif, dan dokumentasi, kemudian divalidasi melalui triangulasi sumber. Analisis data mengacu pada model Miles dan Huberman yang mencakup reduksi data, penyajian data, verifikasi, dan penarikan kesimpulan. Temuan menunjukkan bahwa kekuatan ikatan sosial dan tingkat kepercayaan antaranggota komunitas memberikan kontribusi nyata terhadap peningkatan volume pengumpulan barang bekas serta stabilitas pendapatan. Dengan demikian, modal sosial terbukti menjadi aset penting yang membantu pemulung mengatasi keterbatasan ekonomi dan memperkuat ketahanan hidup mereka di tengah ketidakpastian”. Kata Kunci: modal sosial, pemulung, jaringan sosial, kesejahteraan